How a Profiler Can Improve Your Java Applications

How a Profiler Can Improve Your Java Applications

If you have been working with C++ programs for longer than five years, you should be well aware of the difficulties involved with debugging software. However, many younger programmers don’t have experience with these issues because Java deals with memory problems by using what is called the garbage collector. Whenever a new object is created in Java, the Java Virtual Machine will reserve memory for it, and if the object reference disappears, the memory will be reclaimed.

Because of this simple tool, your small to medium sized Java programs will not crash due to memory issues. When it does fail due to memory issues, many Java programmers have problems. This is where a Java profiler can help you. A Java profiler is a system which connects to a Java program’s JVM. Once it has made this connection, it will capture information about the memory. The profiler uses a special interface which works with the Java Virtual Machine. If you don’t set a profile for your large Java programs before you release them to be manufactured, they may have a number of OutOfMemoryErrors. They may also have performance problems.

JVMPI stands for Java Virtual Machine Profiler interface, and it was a project that worked with Java 2 SDK. Sun wanted it to be used to create profilers which could effectively work with the Java Virtual Machine. Profiling instruments that worked with JVMPI had to utilize the function call interface. This would allow them to register for various situations where they need to get memory information. When a register occurs, the VM will collect a snapshot of the memory by running a query on the object. This process took up a large amount of time, and it also interfered with the operations of the Java program. Because of this, many developers tried to avoid designing profiling tools.

To solve these problems, Sun created JVMTI along with JDK 5.0. The goal was to create an interface which could effectively profile the Java Virtual Machine. It created ways to both study the state and handling of programs running within the JVM. It also supports a wide variety of tools that need to have access to the JVM. Once these tools are given access, they are able to monitor, profile, and debug the system. In addition to this, the JVMTI supports sampling for JVM as well. JVMTI is composed of two parts, and this is the control and query. A client of this tool can be informed of situations via events. By using JVMTI, a profiler can query and handle the program through a large number of different functions. Some of these functions are GetLoadedClasses and GetEnv.

There are two types of memory which is used by the Java Virtual Machine, and these are old generation space and young generation space. The old generation space will store objects which have existed for quite some time. The young storage space will store elements which have recently been generated. The young generation space is further divided in three categories. Two of these spaces are called survivor spaces, while the third is called the Eden space. The Java Virtual Machine will place objects within the Eden space. Many of these objects will be destroyed and reclaimed quickly. Once the Eden space becomes filled, it will cause the JVM to do a small collection. It will move some of the objects which weren’t destroyed to the old generation.

There are two survivor spaces available which will allow you to copy objects, and this will allow young objects to stay with the younger generation for a longer period of time. There will be one survivor space opened at all times. If the objects become old, or the space for the young generation becomes full, the Java Virtual Machine will begin placing objects in the old generation space. Once this space becomes full, the Java Virtual Machine will begin a collection so that objects which are not being used can be removed. A large collection can take a long period of time and may slow down the system. Because of this, it is important to make sure that large collections do not consistently occur within their programs. Altering the object variables can reduce the pressure that has been placed on the Java Virtual Machine.